Evidence map›Paper›PMID 33793615›Full record

ArticlePloS one2021

Tables for effective dose assessment from diagnostic radiology (period 1946-1995) in epidemiologic studies.

Merle Friederike Meiboom, Wolfgang Hoffmann, Kerstin Weitmann, Heiner von Boetticher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Merle Friederike MeiboomCenter for Radiology and Nuclear Medicine, Gesundheit Nord gGmbH-Klinikverbund Bremen, Bremen, Germany.
Wolfgang HoffmannInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Kerstin WeitmannInstitute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Heiner von BoetticherDivision for Medical Radiation Physics, Faculty VI: Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany.
Universitätsmedizin Greifswald · DECarl von Ossietzky Universität Oldenburg · DEKlinikum Bremen-Mitte · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic radiology is a leading cause of man-made radiation exposure to the population. It is an important factor in many epidemiological studies as variable of interest or as potential confounder. The effective dose as a risk related quantity is the most often stated patient dose. Nevertheless, there exists no comprehensive quantification model for retrospective analysis for this quantity. This paper gives a catalog of effective dose values for common and rare examinations and demonstrates how to modify the dose values to adapt them to different calendar years using a quantification concept already used for retrospective analysis of the red bone marrow dose. It covers the time period of 1946 to 1995 and allows considering technical development and different practical standards over time. For an individual dose assessment, if the dose area product is known, factors are given for most examinations to convert the dose area product into the effective dose. Additionally factors are stated for converting the effective dose into the red bone marrow dose or vice versa.

Indexed as

Bone MarrowDiagnostic ImagingDose-Response Relationship, RadiationFemaleHumansMaleRadiation DosageRadiation ExposureRetrospective Studies

Identifiers

PMID33793615
PMCPMC8016243
OpenAlexW3143346170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.